# A Power Law Approach to Estimating Fake Social Network Accounts

arXiv: https://arxiv.org/abs/1605.07984 · HTML: https://mlsanity.com/paper/1605.07984/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 25 May 2016.

## Built on by (most cited first, 1 of 1)

- [Spatio-temporal extreme event modeling of terror insurgencies](https://mlsanity.com/paper/2110.08363/) (2021)

## Abstract (arXiv)

This paper presents a method to validate the true patrons of a brand, group, artist or any other entity on the social networking site Twitter. We analyze the trend of total number of tweets, average retweets and total number of followers for various nodes for different social and political backgrounds. We argue that average retweets to follower ratio reveals the overall value of the individual accounts and helps estimate the true to fake account ratio.